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Guo, Leicheng (author), Zhu, C. (author), Xie, Weiming (author), Xu, Fan (author), Wu, Hui (author), Wan, Yuanyang (author), Wang, Zhanghua (author), Zhang, Weiguo (author), Shen, Jian (author), Wang, Zhengbing (author), He, Qing (author)
The Changjiang Delta (CD) is one of well-studied large deltas of critical socio-economical and ecological importance regionally and global representativeness. Cumulated field data and numerical modeling has facilitated scientific understanding of its hydro-morphodynamics at multiple spatial and time scales, but the changing boundary forcing...
review 2021
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Shen, Chunguang (author), Wang, Chenchong (author), Huang, Minghao (author), Xu, Ning (author), van der Zwaag, S. (author), Xu, W. (author)
We present an electron backscattered diffraction (EBSD)-trained deep learning (DL) method integrating traditional material characterization informatics and artificial intelligence for a more accurate classification and quantification of complex microstructures using only regular scanning electron microscope (SEM) images. In this method, EBSD...
journal article 2021
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Wang, Tan (author), Hanjalic, A. (author), Xu, Xing (author), Shen, Heng Tao (author), Yang, Yang (author), Song, Jingkuan (author)
A major challenge in matching images and text is that they have intrinsically different data distributions and feature representations. Most existing approaches are based either on embedding or classification, the first one mapping image and text instances into a common embedding space for distance measuring, and the second one regarding...
conference paper 2019
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Shen, Chunguang (author), Wang, Chenchong (author), Wei, Xiaolu (author), Li, Yong (author), van der Zwaag, S. (author), Xu, W. (author)
With the development of the materials genome philosophy and data mining methodologies, machine learning (ML) has been widely applied for discovering new materials in various systems including high-end steels with improved performance. Although recently, some attempts have been made to incorporate physical features in the ML process, its...
journal article 2019
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Shen, J. (author), Heedt, S. (author), Borsoi, F. (author), van Heck, B. (author), Gazibegovic, S. (author), op het Veld, R.L.M. (author), Car, D. (author), Ramakers, S.J.J. (author), Wang, Guanzhong (author), Xu, D. (author), Bouman, D. (author), Geresdi, A. (author), Bakkers, E.P.A.M. (author), Kouwenhoven, Leo P. (author)
The number of electrons in small metallic or semiconducting islands is quantised. When tunnelling is enabled via opaque barriers this number can change by an integer. In superconductors the addition is in units of two electron charges (2e), reflecting that the Cooper pair condensate must have an even parity. This ground state (GS) is...
journal article 2018
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